We propose an efficient deep learning method for single image defocus
de...
Graph neural networks (GNNs) have pioneered advancements in graph
repres...
The multi-criteria (MC) recommender system, which leverages MC rating
in...
Network alignment (NA) is the task of discovering node correspondences a...
Spatial objects often come with textual information, such as Points of
I...
Masked Language Modeling (MLM) is widely used to pretrain language model...
Network alignment (NA) is the task of discovering node correspondences a...
Heterogeneous graphs, which contain nodes and edges of multiple types, a...
A new gradient-based optimization approach by automatically scheduling t...
In this paper, a new gradient-based optimization approach by automatical...
We all depend on mobility, and vehicular transportation affects the dail...
Knowledge graph (KG) plays an increasingly important role in recommender...
To quantitatively study the driving mechanisms of magnetospheric convect...
Network alignment (NA) is the task of finding the correspondence of node...
We propose an approach for inverse reinforcement learning from hetero-do...
Community detection, aiming to group the graph nodes into clusters with ...
The repairing work of terracotta warriors in Emperor Qinshihuang Mausole...
The existing 3D deep learning methods adopt either individual point-base...
We present a new convolutional neural network, called Multi Voxel-Point
...
We study the problem of embedding edgeless nodes such as users who newly...
In this paper, we present a seed-region-growing CNN(SRG-Net) for unsuper...
The proliferation of advanced mobile terminals opened up a new crowdsour...
Predicting the link between two nodes is a fundamental problem for graph...
Due to the outstanding capability of capturing underlying data distribut...
In this paper, a fast and easy-to-deploy method with a strong
interpreta...